Sales Data Quality Analyst II

Gomotive; Pakistan; On-site; PKR 16,648,000 - 24,972,000; Full time

Job summary

Motive, a leader in operations safety and efficiency, seeks a Sales Data Quality Analyst II to ensure Salesforce data integrity across accounts, contacts, and opportunities. You will design data quality frameworks, perform root-cause analyses with SQL, and drive improvements that enhance pipeline health and forecasting.

Join a global GTM Strategy and Sales Operations team, collaborating with regional teams and stakeholders to implement scalable data quality solutions and enrich lead-to-revenue

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience in sales data, analytics, or operations.
• Advanced SQL proficiency for data validation, profiling, and reporting across large datasets.
• Strong working knowledge of Salesforce objects including hierarchical structures and segmentation.
• Experience leveraging AI/ML and LLM-powered tools to accelerate analysis and documentation.
• Familiarity with data enrichment workflows and quality checks for third-party data sources.
• Ability to perform root-cause analysis and translate findings into business impact.

Responsibilities

• Lead high-impact data quality investigations and diagnostics.
• Identify data issues and anomalies across accounts, contacts, and opportunities.
• Use SQL and Salesforce reporting for root-cause analysis and impact assessment.
• Establish and maintain data quality standards and scorecards.
• Build automated checks and recurring reports to monitor data health.
• Define data requirements for regional enrichment and segmentation.
• Support design and maintenance of account hierarchies in Salesforce.
• Translate data quality findings into actionable recommendations tied to sales outcomes.
• Create and maintain runbooks and data dictionaries.

Skills

Advanced SQL

Salesforce expertise

AI & automation proficiency

Data enrichment

Analytical problem-solving

Executive communication

Stakeholder management

Education

Bachelor's degree in a quantitative field

Tools

Salesforce

AI/ML tools

Job description

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.

What You'll Do:

As a Sales Data Quality Analyst II, the person in this role is expected to:

Lead high-impact data quality investigations and diagnostics

Proactively identify data issues and anomalies across accounts, contacts, and opportunities.

Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.

Establish and maintain rigorous data quality standards

Help define what “good” looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).

Contribute to and maintain data quality scorecards, rules, and documentation.

Engineer and oversee proactive data monitoring frameworks

Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).

Surface prioritized issue lists and trends to GTM stakeholders.

Support segmentation and enrichment initiatives

Partner with regional teams (e.g., UK contact enrichment, Mexico account segmentation) to define data requirements and coverage goals.

Validate enrichment inputs and outputs, ensuring they meet agreed standards before they are rolled out to sales teams.

Architect account hierarchy and structural integrity

Support the design and maintenance of parent–child account hierarchies in Salesforce.

Ensure that account structures reflect real-world corporate relationships and support roll-up reporting and planning.

Partner with Sales, RevOps, and GTM Strategy

Work closely with business stakeholders to understand how data is used in daily workflows and executive reporting.

Translate data quality findings into clear, actionable recommendations tied to sales outcomes.

Standardize documentation and operationalize for scale

Create and maintain process documentation, runbooks, and data dictionaries related to key sales data objects and fields.

Recommend process and system changes that reduce recurring data issues and support sustainable data quality improvements.

What We're Looking For:

• Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Business Analytics) or equivalent practical experience in sales data, analytics, or operations.
• Advanced SQL Proficiency: Expert ability to perform data validation, profiling, and reporting across large, complex datasets.
• Salesforce Expertise: Strong working knowledge of Salesforce objects (Accounts, Contacts, Opportunities, custom GTM fields), including complex hierarchies and segmentation logic.
• AI & Automation Proficiency: Experience leveraging AI/ML and LLM-powered tools to accelerate analysis, documentation, and data quality investigations while applying strong human judgment and validation.
• Data Enrichment: Familiarity with data enrichment workflows and rigorous quality checks for third-party data sources.
• Analytical Problem-Solving: Ability to perform structured root-cause analysis and bridge technical issues with tangible business impact.
• Strategic Prioritization: Proven comfort in prioritizing issues based on impact, effort, and evolving stakeholder needs.
• Executive Communication: Ability to communicate complex findings in a clear, concise, and business-friendly way to sales leadership.
• Stakeholder Management: Skill in managing expectations, aligning on priorities, and driving accountability for remediation plans.

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

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All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.